Yida (David) Yin

I am an incoming Ph.D. student at Princeton University, advised by Prof. Zhuang Liu. I received my Bachelor's degree in Computer Science and Applied Mathematics from UC Berkeley.

At Berkeley, I am fortunate to collaborate with many great researchers, including Dr. Roei Herzig, Prof. Trevor Darrell, Dr. Zhuo Xu, and Prof. Jiachen Li.

Email / Google Scholar / Twitter / Github

Publications (* equal contribution)

	Idiosyncrasies in Large Language Models Mingjie Sun, Yida Yin, Zhiqiu Xu, J. Zico Kolter, Zhuang Liu ICML 2025 [Paper] [Code] [Project Page] [Press]
	In-Context Learning Enables Robot Action Prediction in LLMs Yida Yin, Zekai Wang, Yuvan Sharma, Dantong Niu, Trevor Darrell, Roei Herzig ICRA 2025 [Paper] [Code] [Project Page]
	A Coefficient Makes SVRG Effective Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu ICLR 2025 [Paper] [Code] [Project Page]
	Neural Network Diffusion Kai Wang, Dongwen Tang, Boya Zeng, Yida Yin, Zhaopan Xu, Yukun Zhou, Zelin Zang, Trevor Darrell, Zhuang Liu, Yang You arxiv 2024 [Paper] [Code]
	Understanding Bias in Large-Scale Visual Datasets Boya Zeng, Yida Yin, Zhuang Liu NeurIPS 2024 [Paper] [Code] [Project Page]
	Initializing Models with Larger Ones Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu ICLR 2024 (Spotlight) [Paper] [Code]
	MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, Jiachen Li ICRA 2024* [Paper]

Website design from Jon Barron

Publications (* equal contribution)

Idiosyncrasies in Large Language Models

In-Context Learning Enables Robot Action Prediction in LLMs

A Coefficient Makes SVRG Effective

Neural Network Diffusion

Understanding Bias in Large-Scale Visual Datasets

Initializing Models with Larger Ones

MATRIX: Multi-Agent Trajectory Generation with Diverse Contexts